Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi最新文献_第3页

Digital Library Analysis and Design Using Iconix Process Method (Case Study: SMA Negeri 1 Ngimbang) 使用Iconix过程方法分析和设计数字图书馆(案例研究:SMA Negeri 1 Ngimbang)

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-07-30 DOI: 10.25139/inform.v7i2.4764

Anindo Saka Fitri, Eka Nanda Sulastri, M. Hilmi Thabibi, Debrina Octrisya Hajjar, Queen Anjar Dea Nigata, Akbar Izdihar

引用次数: 0

Clickbait Detection of Indonesian News Headlines using Fine-Tune Bidirectional Encoder Representations from Transformers (BERT) 利用变形金刚(BERT)的微调双向编码器表征检测印尼新闻标题标题

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-07-30 DOI: 10.25139/inform.v7i2.4686

Diyah Utami Kusumaning Putri, Dinar Nugroho Pratomo

{"title":"Clickbait Detection of Indonesian News Headlines using Fine-Tune Bidirectional Encoder Representations from Transformers (BERT)","authors":"Diyah Utami Kusumaning Putri, Dinar Nugroho Pratomo","doi":"10.25139/inform.v7i2.4686","DOIUrl":"https://doi.org/10.25139/inform.v7i2.4686","url":null,"abstract":"The problem of the existence of news article that does not match with content, called clickbait, has seriously interfered readers from getting the information they expect. The number of clickbait news continues significantly increased in recent years. According to this problem, a clickbait detector is required to automatically identify news article headlines that include clickbait and non-clickbait. Additionally, many currently existing solutions use handcrafted features and traditional machine learning methods, which limit the generalization. Therefore, this study fine-tunes the Bidirectional Encoder Representations from Transformers (BERT) and uses the Indonesian news headlines dataset CLICK-ID to predict clickbait (BERT). In this research, we use IndoBERT as the pre-trained model, a state-of-the-art BERT-based language model for Indonesian. Then, the usefulness of BERT-based classifiers is then assessed by comparing the performance of IndoBERT classifiers with different pre-trained models with that of two word-vectors-based approaches (i.e., bag-of-words and TF-IDF) and five machine learning classifiers (i.e., NB, KNN, SVM, DT, and RF). The evaluation results indicate that all fine-tuned IndoBERT classifiers outperform all word-vectors-based machine learning classifiers in classifying clickbait and non-clickbait Indonesian news headlines. The IndoBERTBASE using the two training phases model gets the highest accuracy of 0.8247, which is 0.064 (6%), outperforming the SVM classifier's accuracy with the bag-of-words model 0.7607.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78111247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analysis and Design of User Interface and User Experience of Regional Tax Enterprise Resources Planning System with Design Thinking Method 用设计思维方法分析与设计地税企业资源规划系统的用户界面与用户体验

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-07-29 DOI: 10.25139/inform.v7i2.4729

Vicky Ardian Subarjah, Ari Purno Wahyu

{"title":"Analysis and Design of User Interface and User Experience of Regional Tax Enterprise Resources Planning System with Design Thinking Method","authors":"Vicky Ardian Subarjah, Ari Purno Wahyu","doi":"10.25139/inform.v7i2.4729","DOIUrl":"https://doi.org/10.25139/inform.v7i2.4729","url":null,"abstract":"Regional Tax is one of the main sectors of independent income owned by each City or Regency to fund infrastructure development, education development, health services, and much more. The government agency that manages this regional tax is Badan Pendapatan Daerah, abbreviated as Bapenda. In particular, the West Bandung Bapenda has not implemented an online-based Regional Tax service system. This management system cannot be developed, and taxpayers have no independent account management. The appearance and user experience of the existing system has not matched the current design trends and the latest organizational structure. This greatly obstructs the services of Bapenda to taxpayers due to the lack of digital transparency. The system's flow is quite convoluted, thus affecting the quality and slow access to information. These limitations will be resolved through structured research using the Design Thinking and Usability Testing method for testing so that later it can be translated into an Enterprise Resources Planning system design with a good User Interface / User Experience. This method is structured following five phases: empathy, define, ideate, prototype, and test. The empathy phase aims to understand user problems, the define phase identifies and maps problems, the ideate phase aims to generate ideas, the prototype phase aims to implement the design based on the results of the previous steps, and the test phase aims to test the user. The final phase is the test phase and aims to test the user. The results obtained after applying this method follow user expectations.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90057286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analysis of A* Algorithm Optimization and Breadth First Search in the Water Teapot Game 水茶壶博弈中A*算法优化与广度优先搜索分析

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-07-27 DOI: 10.25139/inform.v7i2.4484

B. Indriyono, Widyatmoko

{"title":"Analysis of A* Algorithm Optimization and Breadth First Search in the Water Teapot Game","authors":"B. Indriyono, Widyatmoko","doi":"10.25139/inform.v7i2.4484","DOIUrl":"https://doi.org/10.25139/inform.v7i2.4484","url":null,"abstract":"Artificial Intelligence (AI) is a branch of computer science that focuses on learning how computers can work or perform as well as humans or even better than humans. The development of artificial intelligence can be used as a benchmark for technological developments. Many problems can be solved using this artificial intelligence concept. One of them is a water jug logic game. The water jugs problem is a game requiring converting a situation into another desired situation using a certain set of operations. The objective of this game is for players to develop their deductive reasoning skills by figuring out how to move x litters of water from one teapot to another. To accomplish this, they will refer to the beginning value that has to be filled in each teapot and the end value that needs to be filled in each teapot. Using the A* algorithm and the Breadth-First Search (BFS) algorithm, which both fall under the umbrella of artificial intelligence, it is possible to find a solution to this issue. The A* algorithm is a Best First Search algorithm that combines Uniform Cost Search and Greedy Best-First Search, while the Breadth-First Search algorithm is a graph search algorithm that performs a wide search at each level. This study analyzed the effectiveness of the A* and BFS algorithms in solving the water jug logic problem, both from the number of steps and the time required for completion. The results of the tests were carried out, and it is known that the BFS algorithm is more effective than the A* algorithm because the BFS algorithm can provide a number of alternative solutions to the water jug logic problem with various conditions.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88802324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey of Trust Management Schemes for Social Internet of Things 社交物联网信任管理方案研究

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-06-09 DOI: 10.25139/inform.v7i1.4567

Simon Wewoliamo Kuseh, Henry Nunoo-Mensah, Griffith Selorm Klogo, Eric Tutu Tchao

{"title":"A Survey of Trust Management Schemes for Social Internet of Things","authors":"Simon Wewoliamo Kuseh, Henry Nunoo-Mensah, Griffith Selorm Klogo, Eric Tutu Tchao","doi":"10.25139/inform.v7i1.4567","DOIUrl":"https://doi.org/10.25139/inform.v7i1.4567","url":null,"abstract":"Social Internet of Things (SIoT) involves integrating social networking concepts in the Internet of Things (IoT) to enhance social interactions among IoT objects and users. SIoT is envisaged to provide adequate service selection and discovery. Trust is an essential factor whenever social concepts are discussed in communication networks. Trust usually leads to a mutual relationship between two parties (i.e., the trustor and trustee) where they both enjoy mutual benefits. For secure social relationships, Trust management (TM) is a crucial feature of SIoT. The primary aim of this work is to provide a comprehensive review of trust management proposals/schemes available for SIoT. Four main trust calculation algorithms for trust management were selected for this review, and they were examined in detail. The IEEE Xplore, Scopus, ResearchGate, and Google Scholar databases were searched for articles containing the terms \"Trust aggregation approaches in IoT\", and \"Trust computation in SIoT\" with a particular emphasis on works published between 2018 and 2021. The paper also discussed the pros and cons of each TM technique, trust metrics/features, contributions, and limitations of the state-of-the-art SIoT TM proposals in the literature. The paper further provides open issues and possible research directions for entry-level researchers in the domain of SIoT.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80437736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation System of Health Care Kiosk for Detecting Cholesterol Disease, Uric Acid, Obesity and Hypoxia 胆固醇病、尿酸、肥胖、缺氧检测保健亭的实现系统

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-06-09 DOI: 10.25139/inform.v7i1.4566

Heny Yuniarti, Riyanto Sigit, Amran Zamzami

{"title":"Implementation System of Health Care Kiosk for Detecting Cholesterol Disease, Uric Acid, Obesity and Hypoxia","authors":"Heny Yuniarti, Riyanto Sigit, Amran Zamzami","doi":"10.25139/inform.v7i1.4566","DOIUrl":"https://doi.org/10.25139/inform.v7i1.4566","url":null,"abstract":"The development of technological advances in the health sector in the last decades has grown very rapidly. Currently, most people do not receive routine medical check-ups because of the long lines of patients and the expensive rates they must pay to see a specialist doctor. This causes many people to ignore the importance of routine health checks as recommended by the National Health Agency. The purpose of this research is to make a device that can perform routine checks independently at home, using an Arduino microcontroller for checking cholesterol, uric acid, obesity, and hypoxia. This tool has several sensors, namely Ultrasonic & Load Cell sensors to measure weight and height, which are used to detect obesity through the BMI table. In addition, there is a Pulse and Oxygen in Blood Sensor (SPO2) sensor to detect heart rate and oxygen saturation to detect hypoxia using the fuzzy logic method. Cholesterol and uric acid examination using the Electrode Based biosensor method with a digital detection device (amperometric biosensor). Testing the Tsukamoto fuzzy logic method system obtained a data accuracy value of 100%, following the rules set for classifying hypoxic diseases. The trial phase was carried out as many as 10 trials, where 90% of patients did not experience hypoxia, and 10% had mild hypoxia. The results of testing the BMI table method system for obesity obtained a data accuracy value of 100% according to the calculation of the BMI calculator. In phase 10 trials, 30% of patients were lean, 50% obese, and 20% obese. The system test results use a range of values, each with a data accuracy value of 100% according to the classification of cholesterol and uric acid levels. Ten trials showed that 70% of patients were in normal condition, 20% of patients with low cholesterol, and 10% of patients were in high limits. As for gout, 70% of patients are in normal condition, and 30% of patients are in high uric acid condition.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79426963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition 深度学习算法在面部情绪检测与识别中的研究进展

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-06-08 DOI: 10.25139/inform.v7i1.4563

Prince Awuah Baffour, Henry Nunoo-Mensah, Eliel Keelson, Benjamin Kommey

{"title":"A Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition","authors":"Prince Awuah Baffour, Henry Nunoo-Mensah, Eliel Keelson, Benjamin Kommey","doi":"10.25139/inform.v7i1.4563","DOIUrl":"https://doi.org/10.25139/inform.v7i1.4563","url":null,"abstract":"Facial emotion recognition (FER) forms part of affective computing, where computers are trained to recognize human emotion from human expressions. Facial Emotion Recognition is very necessary for bridging the communication gap between humans and computers because facial expressions are a form of communication that transmits 55% of a person's emotional and mental state in a total face-to-face communication spectrum. Breakthroughs in this field also make computer systems (robotic systems) better serve or interact with humans. Research has far advanced for this cause, and Deep learning is at its heart. This paper systematically discusses state-of-the-art deep learning architectures and algorithms for facial emotion detection and recognition. The paper also reveals the dominance of CNN architectures over other known architectures like RNNs and SVMs, highlighting the contributions, model performance, and limitations of the reviewed state-of-the-art. It further identifies available opportunities and open issues worth considering by various FER research in the future. This paper will also discover how computation power and availability of large facial emotion datasets have also limited the pace of progress.","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76651921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Implementation of Android-Based Parking Management Applications 基于android的停车场管理应用程序的实现

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-01-26 DOI: 10.25139/inform.v7i1.4364

Anang Pramono, M. Ali Shodikin

引用次数: 0

3D Object Detection Based on Point Cloud Data 基于点云数据的三维目标检测

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-01-24 DOI: 10.25139/inform.v7i1.4417

Dewi Mutiara Sari, Dadet Pramadihanto, Alfan Rizaldy Pratama, Bayu Sandi Marta

引用次数: 2

MVPA and GA Comparison for State Space Optimization at Classic Tetris Game Agent Problem 经典俄罗斯方块智能体问题状态空间优化的MVPA与GA比较

Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Pub Date : 2022-01-24 DOI: 10.25139/inform.v7i1.4381

Hendrawan Armanto, Ronal Dwi Putra, Pickerling Pickerling

{"title":"MVPA and GA Comparison for State Space Optimization at Classic Tetris Game Agent Problem","authors":"Hendrawan Armanto, Ronal Dwi Putra, Pickerling Pickerling","doi":"10.25139/inform.v7i1.4381","DOIUrl":"https://doi.org/10.25139/inform.v7i1.4381","url":null,"abstract":"Tetris is one of those games that looks simple and easy to play. Although it seems simple, this game requires strategy and continuous practice to get the best score. This is also what makes Tetris often used as research material, especially research in artificial intelligence. These various studies have been carried out. Starting from applying state-space to reinforcement learning, one of the biggest obstacles of these studies is time. It takes a long to train artificial intelligence to play like a Tetris game expert. Seeing this, in this study, apply the Genetic Algorithms (GA) and the most valuable player (MVPA) algorithm to optimize state-space training so that artificial intelligence (agents) can play like an expert. The optimization means in this research is to find the best weight in the state space with the minimum possible training time to play Tetris with the highest possible value. The experiment results show that GAs and MVPA are very effective in optimizing the state space in the Tetris game. The MVPA algorithm is also faster in finding solutions. The resulting state space weight can also get a higher value than the GA (MVPA value is 249 million, while the GA value is 68 million).","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84618611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0